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Key predictors for climate policy support and political mobilization: The role of beliefs and preferences

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  • Simon Montfort

Abstract

Public support and political mobilization are two crucial factors for the adoption of ambitious climate policies in line with the international greenhouse gas reduction targets of the Paris Agreement. Despite their compound importance, they are mainly studied separately. Using a random forest machine-learning model, this article investigates the relative predictive power of key established explanations for public support and mobilization for climate policies. Predictive models may shape future research priorities and contribute to theoretical advancement by showing which predictors are the most and least important. The analysis is based on a pre-election conjoint survey experiment on the Swiss CO2 Act in 2021. Results indicate that beliefs (such as the perceived effectiveness of policies) and policy design preferences (such as for subsidies or tax-related policies) are the most important predictors while other established explanations, such as socio-demographics, issue salience (the relative importance of issues) or political variables (such as the party affiliation) have relatively weak predictive power. Thus, beliefs are an essential factor to consider in addition to explanations that emphasize issue salience and preferences driven by voters' cost-benefit considerations.

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  • Simon Montfort, 2023. "Key predictors for climate policy support and political mobilization: The role of beliefs and preferences," Papers 2306.10144, arXiv.org.
  • Handle: RePEc:arx:papers:2306.10144
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    1. Stefano Carattini & Steffen Kallbekken & Anton Orlov, 2019. "How to win public support for a global carbon tax," Nature, Nature, vol. 565(7739), pages 289-291, January.
    2. Soss, Joe & Schram, Sanford F., 2007. "A Public Transformed? Welfare Reform as Policy Feedback," American Political Science Review, Cambridge University Press, vol. 101(1), pages 111-127, February.
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    4. Cranmer, Skyler J. & Desmarais, Bruce A., 2017. "What Can We Learn from Predictive Modeling?," Political Analysis, Cambridge University Press, vol. 25(2), pages 145-166, April.
    5. Anthony Downs, 1957. "An Economic Theory of Political Action in a Democracy," Journal of Political Economy, University of Chicago Press, vol. 65(2), pages 135-135.
    6. Stefan Drews & Jeroen C.J.M. van den Bergh, 2016. "What explains public support for climate policies? A review of empirical and experimental studies," Climate Policy, Taylor & Francis Journals, vol. 16(7), pages 855-876, October.
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